The goal of this project is to significantly enhance information trustworthiness essential in V2V (vehicle-to-vehicle) and V2I (vehicle-to-infrastructure) networks. V2V and V2I networks possess enormous potential to improve driving safety and traffic conditions by sharing road and traffic information among vehicles in real-time. However, the benefits of the V2V setup will not be fully realized unless one can effectively defend against malicious or dysfunctional nodes (_i.e., _vehicles) inevitably present in such open environments. We will construct a trust model for each vehicle that participates in the V2V-based incident reports. Each vehicle receiving a report makes trust decisions by scoring its originator and forwarders, using likelihood estimates. From a V2V/V2I _trust simulator_, we obtain 85% accuracy in trust-related decision-making.
|firstname.lastname@example.org||Lee, Insup||CIS||PI||Faculty - Tenured|
|Final Report||160_-_Vehicle_Trust_Management_for_Connected_Vehicles.pdf||Sept. 4, 2018, 10:32 a.m.|
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